Use of a 2,5-Dihydroxybenzoic Acid/Aniline MALDI Matrix for Improved Detection and On-Target Derivatization of Glycans: A Preliminary Report
Bibliographic record
Abstract
N-Linked glycans derived from human and bovine alpha1-acid glycoprotein, as well as chicken egg white albumin, were analyzed by MALDI-TOF mass spectrometry using a novel MALDI matrix consisting of 2,5-dihydroxybenzoic acid (DHB) and aniline. A significant increase in signal was observed for these oligosaccharides relative to the signal obtained when unmodified DHB was used as a matrix for the same set of samples. The use of aniline/DHB matrix also led to facile on-target derivatization of the glycans via nonreductive amination, as aniline was found to form a stable Schiff base with the reducing end GlcNAc residue without the need for prolonged incubation periods and elevated temperatures. Both native and derivatized glycans ionized as sodium adducts and had similar MS/MS fragmentation patterns consisting mainly of Y/B-cleavage ions. In our experiments, we obtained evidence for persistence of the derivatization reaction in the solid phase; i.e., the reaction appeared to be taking place even after the sample-matrix spot had dried. This is the first report on such solid-phase on-target derivatization of carbohydrates for subsequent analysis by MALDI mass spectrometry.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".